Attrition_cb01_gold_hd_2018 May 2026

New hires (0–2 years) and those who haven't been promoted recently are higher risks. 4. Predictive Modeling Steps

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

Identify trends by looking for correlations between these key factors: Attrition_cb01_gold_HD_2018

Job Role, Department, Job Level, Business Travel frequency.

Focus on Recall (finding all employees likely to leave) rather than just Accuracy. 5. Strategic Recommendations New hires (0–2 years) and those who haven't

Improving survey scores in "Work-Life Balance" through flexible scheduling.

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 Identify trends by looking for correlations between these

Employees working overtime frequently show higher attrition rates.