Attrition_cb01_gold_hd_2018 -

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

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

Based on the data patterns, typical HR interventions include:

Addressing attrition in employees who have been in the same role for more than 3 years. To help you with a more specific guide, Monthly Income, Percent Salary Hike, Stock Option Level

Lower monthly income is often the strongest predictor of leaving.

This guide outlines the core components of the dataset and how to use it for predictive modeling. 1. Dataset Overview Predictive Modeling Steps Based on the data patterns,

Employees working overtime frequently show higher attrition rates.