Final Year Project (FYP)Authors: Nguyen, Phuong Ly; Advisor: Tran, Thi Oanh; Management information system (2021)
In the SHRM/Globoforce survey Using Recognition and Other Workplace Efforts to Engage Employees, 47 percent of HR professionals listed retention/turnover as the top workforce management challenge. Revolving workforces frequently result in higher training expenses, irregular production, low morale, and, as a result, lower or limited profitability. Therefore, it is necessary to focus on reducing turnover. In this study, we target to building a prediction model to predict employee churn using machine learning-individual classifier methods such as Decision Tree, Logistic Regression, SVM, KNN, MLP classifier and ensemble learning such as XGBoost, Random Forest, and Voting classifier. To ev... 
