Prediction of Employee Attrition Using Machine Learning and Ensemble Methods

Employees are the most valuable resources for any organization. The cost associated with professional training, developed loyalty over years and sensitivity of some organizational positions, all make it very essential to identify who might leave Many reasons can lead employee attrition. In this paper, several machine learning models automatically accurately predict IBM attrition dataset is used in work train evaluate models; namely Decision Tree, Random Forest Regressor, Logistic Adaboost Model, Gradient Boosting Classifier models. ultimate goal detect help company improve different retention strategies on crucial employees boost those satisfactions.