This data set presents an employee survey from IBM, indicating if there is employee attrition or not. The data set contains approximately ~1200 entries.

Data Description

Id - an anonymous id given to an Employee
Age - Age of an Employee
Attrition - Did the Employee leave the company, 0-No, 1-Yes
BusinessTravel - Travlling frequency of an Employee
Department - Work Department
DistanceFromHome - Distance of office from home
EducationField - Field of Education
EmployeeNumber - Number of Employees in the division of a given Employee
EnvironmentSatisfaction - Work Environment Satisfaction
Gender - Gender of Employee
MartialStatus - Martial Status of an employee
MonthlyIncome - Monthly Income of Employee in USD
NumCompaniesWorked - Number of Companies in which Employee has worked before joining this Company
OverTime - Does The person work overtime
PercentSalaryHike - Average annual salary hike in percentages
StockOptionLevel - Company stocks given to an Employee
TotalWorkingYears - Total working experience of an employee
TrainingTimesLastYear - No. of trainings an employee went through last year
YearsAtCompany - Number of years worked at this company
YearsInCurrentRole - Number of years in current role
YearsSinceLastPromotion - Number of years since last promotion
YearsWithCurrManager - Number of years with the current manager
Education
- 1 'Below College'
- 2 'College'
- 3 'Bachelor'
- 4 'Master'
- 5 'Doctor'
EnvironmentSatisfaction
- 1 'Low'
- 2 'Medium'
- 3 'High'
- 4 'Very High'
JobInvolvement
- 1 'Low'
- 2 'Medium'
- 3 'High'
- 4 'Very High'
JobSatisfaction
- 1 'Low'
- 2 'Medium'
- 3 'High'
- 4 'Very High'
PerformanceRating
- 1 'Low'
- 2 'Good'
- 3 'Excellent'
- 4 'Outstanding'
Behaviour
- 1 'Good'
- 2 'Bad'
- 3 'Not Rated'
CommunicationSkill
- 1 'Bad'
- 2 'Average'
- 3 'Good'
- 4 'Better'
- 5 'Best'
StockOptionLevel
- 0 'No stocks'
- 1 'Less Stocks'
- 2 'Moderate Stocks'
- 3 'A lot of Stocks'

Submission file format:

The prediction submission file must contain column names: Id and Attrition. Else, it will give an error.

Saving Prediction File & Sample Submission

You can find more details on how to save a prediction file here:

https://discuss.dphi.tech/t/how-to-submit-predictions/548

Note: This challenge is for educational purposes.

Data Sprint 56 - Employee Attrition

Challenge Starts

Registration Ends

Challenge Ends