Created | Sun, 15 Jun 2025 15:14:56 +0000 |
Published | Wed, 18 Jun 2025 06:29:44 +0000 |
Algorithm | BigML Memory Tree |
Split criterion | |
Support threshold | |
Depth threshold | 512 |
Node threshold | 512 |
Missing splits | No |
Statistical pruning | Smart pruning |
This decision tree model was built using BigML to predict employee attrition based on various HR attributes such as OverTime, Age, JobSatisfaction, BusinessTravel, and TotalWorkingYears. The target variable is Attrition (Yes/No). The model analyzes patterns in historical data to classify employees as likely to stay or leave. It helps identify high-risk employee profiles and provides insights for HR decision-making.