… In the present work, we focus on building a predictive model for employee churn problem…
predictive models in the context of employee churn. We also focus on developing an employee …

… employees take time to make the respective organization profitable. Hence in this paper we
try to build a model which will predict employee churn … contrast between left employees vs. …

… the best model to predict employee churn. A successful prediction model for employee churn
is … To ensure the prediction model is able to predict the employee churn, we compare three …

… We start with simple binary classification methods for employee churn prediction Decision
Tree, Naive Bayes, and nearest neighbors methods. Then, we try to more complex methods as …

… Employee churn prediction problem can be modeled as a … based on CNN for the employee
churn prediction in retailing. … algorithm is used to employee churn prediction for the first time …

… have been used to build predictive customer churn models. Second, we presented a case
study that we had carried out for building and comparing predictive employee churn models. …

… , an MADM and ML-based scheme for the employee churn problem and retention policy.
We refer this scheme as employee churn prediction and retention (ECPR). The ECPR is based …

… Section 2 reviews the existing literature on employee churn … for employee categorisation
and employee churn prediction … 3.3 Prediction of Employee Churn To evaluate the proposed …

… in the industries, an employee may switch workplaces, and … ML techniques that examine an
employee’s record and assess … IoT-enabled predictive strategy to evaluate employee churn …

… Employee churn is a critical issue for companies and … to address the employee churn prediction
problem in … MCGDM for employee ranking, and machine learning for predictive modeling…