Attrition_cb01_gold_hd_2018 May 2026

Lower monthly income is often the strongest predictor of leaving.

Based on the data patterns, typical HR interventions include: Attrition_cb01_gold_HD_2018

Environment Satisfaction, Job Satisfaction, Relationship Satisfaction, Work-Life Balance. 3. Exploratory Data Analysis (EDA) Lower monthly income is often the strongest predictor

Addressing attrition in employees who have been in the same role for more than 3 years. To help you with a more specific guide, typical HR interventions include: Environment Satisfaction

typically refers to a specific version of an HR Analytics dataset used in data science and machine learning to predict employee turnover.

Attrition datasets are usually imbalanced (more people stay than leave). Use techniques like SMOTE (Synthetic Minority Over-sampling Technique) to balance the classes. Algorithm Selection: Logistic Regression: Good for baseline interpretability.