Targeted at high-performing employees in "Gold" roles with low stock options.
Job Role, Department, Job Level, Business Travel frequency.
Monthly Income, Percent Salary Hike, Stock Option Level.
The dataset contains employee information and a binary target variable ( Attrition ) indicating whether an employee stayed or left the company. The "2018" and "Gold" designations usually refer to a cleaned, feature-engineered version of the standard IBM HR analytics data. 2. Core Features
Years at Company, Years in Current Role, Performance Rating, Training Times Last Year.
Convert categorical variables (like Department ) into numerical values using One-Hot Encoding.
Better for capturing complex interactions between satisfaction and pay.
If you are building a machine learning model, follow this workflow: