This predictive model was trained on 80% of the HR Analytics dataset to classify whether an employee is likely to leave the organization (Attrition = Yes/No). Using a decision tree algorithm in BigML, the model learned patterns from features such as OverTime, BusinessTravel, TotalWorkingYears, Age, and JobSatisfaction. It serves as the foundation for evaluation and simulation, enabling HR teams to identify key risk factors and develop retention strategies.