{
  "fetched_at": "2026-10-24T11:54:19Z",
  "source_url": "https://www.kaggle.com/competitions/ai-hackathon-foobar-60/data",
  "pages": [
    {
      "name": "data-description",
      "content": "What files do I need? \n\nAns: train.csv and test.csv\n\nUse train.csv to study and train your data\n\nUse test.csv to test your data  \n\n----------------------------------------------------------------------------------------------------------------------------------\nWhat should I expect the data format to be?  \nAns: The same as give in the uploaded files\n\n----------------------------------------------------------------------------------------------------------------------------------\nWhat should I do once the training and testing is done?\n\nAns: Find the accuracy of your model using R2 score metric\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● MODEL YEAR e.g. 2014\n● MAKE e.g. Acura\n● MODEL e.g. ILX\n● VEHICLE CLASS e.g. SUV\n● ENGINE SIZE e.g. 4.7\n● CYLINDERS e.g 6\n● TRANSMISSION e.g. A6\n● FUEL TYPE e.g. z\n● FUEL CONSUMPTION in CITY(L/100 km) e.g. 9.9\n● FUEL CONSUMPTION in HWY (L/100 km) e.g. 8.9\n● FUEL CONSUMPTION COMB (L/100 km) e.g. 9.2\n● CO2 EMISSIONS (g/km) e.g. 182 --> low --> 0",
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    {
      "name": "Description",
      "content": "**INTRODUCTION**\nThe emission of greenhouse gases turned out to be a major problem these days. They have\na drastic effect on the environment. Out of all the greenhouse gases we consider the\nemission of CO2 and specifically CO2 emission by cars. There are about 1.4 billion cars\nacross the globe. Vehicle exhaust is considered the major source for emission of CO2\nacross the globe. The main objective of this model is to predict the CO2 emission by\ncars based on their features like model, engine size, etc.\n\nTake a look at the dataset train.csv\n\n**OBJECTIVES**\n\n1. Train and test the datasets given accordingly.\n2. Use the inbuilt R2 score metric to measure the accuracy of the model.\n\n**NOTE :** You can make use of the Co2Emissions.ipynb file for data pre-processing in data tab\n\n\n",
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    {
      "name": "Evaluation",
      "content": "The evaluation metric will be the accuracy of your model obtained through r2 score   \n**NOTE :** You will have to submit the csv file of your output dataset not the code",
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    },
    {
      "name": "rules",
      "content": "# Rules\n- Team of 2 or 3\n- References allowed\n- No cheating",
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      "hasIsPublished": false,
      "postTitle": "",
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