A drastic thing happened and XYZ Technical Solutions have lost one of their important employees. The company is now very concerned about the health of their employees and would want you to find that set of employees who are in need or may be in need of treatment, taking into account multiple attributes that are already stored in the database. So buckle up, the wellness of your employees is in your hand.
The goal is to help the organization to better understand the factors that contribute to employee health and wellbeing. By developing accurate predictive models, participants can help multiple organizations to identify areas where interventions may be needed, and to design targeted wellness programs that can improve employee health and productivity. The objective is to predict if the employee needs treatment, from the given features of the Test data.
The predictions are to be written to a CSV file along with ID which is the unique identifier for each tuple. Please upload the submission file to get a score. Please note that the training data is only for creating your data model and all predictions are to be made as per serial numbers on the test file.
The description of the data attributes is given below:
Timestamp Age Gender Country state: If you live in the United States, which state or territory do you live in? self_employed: Are you self-employed? family_history: Do you have a family history of mental illness? treatment: Does he or she really needs treatment. work_interfere: If you have a mental health condition, do you feel that it interferes with your work? no_employees: How many employees does your company or organization have? remote_work: Do you work remotely (outside of an office) at least 50% of the time? tech_company: Is your employer primarily a tech company/organization? benefits: Does your employer provide mental health benefits? care_options: Do you know the options for mental health care your employer provides? wellness_program: Has your employer ever discussed mental health as part of an employee wellness program? seek_help: Does your employer provide resources to learn more about mental health issues and how to seek help? anonymity: Is your anonymity protected if you choose to take advantage of mental health or substance abuse treatment resources? leave: How easy is it for you to take medical leave for a mental health condition? mental_health_consequence: Do you think that discussing a mental health issue with your employer would have negative consequences?
phys_health_consequence: Do you think that discussing a physical health issue with your employer would have negative consequences?
coworkers: Would you be willing to discuss a mental health issue with your coworkers? supervisor: Would you be willing to discuss a mental health issue with your direct supervisor(s)? mental_health_interview: Would you bring up a mental health issue with a potential employer in aninterview? phys_health_interview: Would you bring up a physical health issue with a potential employer in an interview? mental_vs_physical: Do you feel that your employer takes mental health as seriously as physical health? obs_consequence: Have you heard of or observed negative consequences for coworkers with mental health conditions in your workplace? comments: Any additional notes or comments. Evaluation Metric : Accuracy/Mean F1 Submission Limit: The submission limit for each team is 20. Please note that individual submission limits would be shown to individuals.