{
  "fetched_at": "2026-10-20T05:11:03Z",
  "source_url": "https://www.kaggle.com/competitions/113-artificial-intelligence-hw-2/data",
  "pages": [
    {
      "name": "data-description",
      "content": "## Columns\n- Employee ID: The unique ID allocated for each employee\n- Date of Joining: The date-time when the employee has joined the organization (example: 2008-12-30)\n- Gender: The gender of the employee (Male/Female)\n- Company Type: The type of company where the employee is working (Service/Product)\n- WFH Setup Available: Is the work from home facility available for the employee (Yes/No)\n- Designation: The designation of the employee of work in the organization.\n-- In the range of [0.0, 5.0] bigger is higher designation.\n- Resource Allocation: The amount of resource allocated to the employee to work, ie. number of working hours.\n-- In the range of [1.0, 10.0] (higher means more resource)\n- Mental Fatigue Score: The level of fatigue mentally the employee is facing.\n-- In the range of [0.0, 10.0] where 0.0 means no fatigue and 10.0 means completely fatigue.\n- Burn Rate: The value we need to predict for each employee telling the rate of Bur out while working.\n-- In the range of [0.0, 1.0] where the higher the value is more is the burn out.\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",
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    {
      "name": "Description",
      "content": "Globally, World Mental Health Day is celebrated on October 10 each year. The objective of this day is to raise awareness about mental health issues around the world and mobilize efforts in support of mental health. According to an anonymous survey, about 450 million people live with mental disorders that can be one of the primary causes of poor health and disability worldwide. These days when the world is suffering from a pandemic situation, it becomes really hard to maintain mental fitness.\n\nYou have to upload your code to eeclass (.ipynb / .py), describe how you deal with the problem using comment.\n",
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    {
      "name": "Evaluation",
      "content": "Evaluation of this assignment will be Mean Absolute Error In statistics, mean absolute error (MAE) is a measure of errors between paired observations expressing the same phenomenon. Examples of Y versus X include comparisons of predicted versus observed, subsequent time versus initial time, and one technique of measurement versus an alternative technique of measurement. [Mean Absolute Error description](https://en.wikipedia.org/wiki/Mean_absolute_error)",
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    {
      "name": "rules",
      "content": "This is a page where you can include rules that participants must accept before joining. You may wish to include rules like:\n\n- One person in a team, use your student ID as your team name\n- Don't cheat!\n- Apply yourself!\n- Have fun!",
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    {
      "name": "abstract",
      "content": "Determining the burn rate for employees in an organization during the pandemic, where remote work can be both a blessing and a challenge. How is the employee burn rate impacted under different conditions in this scenario?\nDeadline: 11:55 PM on October 21st.\n\n",
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