This is the training dataset, created by splitting 80% of the original data. It was used to train the predictive decision tree model in BigML, helping the model learn relationships between input features (like OverTime, JobSatisfaction, and BusinessTravel) and the target variable (Attrition). This forms the basis for prediction and simulation.