/redict-the-Employee-Burn-Out-Rate

HackerEarth | Burn_Out_Rate_Prediction | Rank_9

Primary LanguageJupyter Notebook

Predict-the-Employee-Burn-Out-Rate

World Mental Health Day is celebrated on October 10 each year. The objective of this day is to raise an awareness about mental health issues around the world and mobilise 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.

Challenge

To predict the burn out rate of employees based on the provided features thus helping the company to take appropriate measures for their employees.

Dataset

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Link: https://www.hackerearth.com/problem/machine-learning/predict-the-employee-burn-out-rate-7-6340b4e3/

Evaluation Criteria:

The evaluation metric that is used for this problem is the r2_score.

Leaderboard:

https://www.hackerearth.com/challenges/competitive/hackerearth-machine-learning-challenge-predict-burnout-rate/leaderboard/predict-the-employee-burn-out-rate-7-6340b4e3/