Employee attrition predictionVarshit JainAnsh AyaDhairya DesaiIJARIIT
Employee's attrition prediction using survival\nanalysis and Cox proportional hazard model In every sector, turnover is a major concern, whether it is about an\norganisation's workforce turnover, or an e-commerce site's consumer attrition.\nIf we... KK Mohbey - 《International Journal of Digi...
Table 1: Automated Prediction of Employee Attrition Using Ensemble Model Based on Machine Learning Algorithms
A corporation should prioritize reducing personnel attrition with the goal to maintain a persistent competitive advantage over its competitors. This study focuses on this, which will help businesses estimate staff turnover and promote economic growth. This study investigates employee attrition prediction ...
This study used classification models using work-place related variables to predict employee attrition.Nagadevara, VishnuprasadReview of Business ResearchNagadevara, V. (2012). Prediction of employee attrition using work place related variables. Review of Business Research, Vol. 12, 70....
Employee Attrition Prediction in the USA: A Machine Learning Approach for HR Analytics and Talent Retention Strategiesdoi:10.32996/jbms.2024.6.3.6Gazi, Md SumonNasiruddin, MdDutta, ShuvoSikder, RajeshHuda, Chowdhury BadrulIslam, Md ZahidulJournal of Business & Management Studies ...
To deal with this problem, companies are now relying on machine learning methods to predict employee attrition rate. These methods work on products based on employee data analysis and the degree of prediction by the models. With accurate results, all the companies may take necessary actions in a...
Employee attrition prediction with convolutional neural network and synthetic minority over-sampling techniqueEmployee attrition negatively affects organizational efficiency, customer service quality, and brand reputation. In this study, we explore the important issue of predicting employee attrition, which aids...
In this paper, we attempted to predict employee attrition rate using the classification algorithms, namely Decision tree, Random forest, K-Nearest Neighbourhood, Neural Networks, extreme gradient boosting and Ada-Boosting. We also have applied regularization for every algorithm to find the precise ...
Employee Attrition Prediction Using Classification Modelsdoi:10.1109/i2ct45611.2019.9033784Namrata BhartiyaSheetal JannuPurvika ShuklaRadhika ChapaneriIEEEInternational Conference for Convergence for Technology