Attrition_cb01_gold_hd_2018 [ UPDATED • 2025 ]

To analyze attrition effectively, focus on these common data categories: Age, Gender, Marital Status.

Years at Company, Years in Current Role, Performance Rating, Training Times Last Year. Attrition_cb01_gold_HD_2018

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 To analyze attrition effectively, focus on these common

Better for capturing complex interactions between satisfaction and pay. To analyze attrition effectively

Lower monthly income is often the strongest predictor of leaving.

Addressing attrition in employees who have been in the same role for more than 3 years. To help you with a more specific guide,