This guide outlines the core components of the dataset and how to use it for predictive modeling. 1. Dataset Overview
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.
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
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 Attrition_cb01_gold_HD_2018
Improving survey scores in "Work-Life Balance" through flexible scheduling. This guide outlines the core components of the
Better for capturing complex interactions between satisfaction and pay. Attrition_cb01_gold_HD_2018
