Better for capturing complex interactions between satisfaction and pay.
This guide outlines the core components of the dataset and how to use it for predictive modeling. 1. Dataset Overview Attrition_cb01_gold_HD_2018
New hires (0–2 years) and those who haven't been promoted recently are higher risks. 4. Predictive Modeling Steps Attrition_cb01_gold_HD_2018
If you are building a machine learning model, follow this workflow: 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
Improving survey scores in "Work-Life Balance" through flexible scheduling.