Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Predicting Employee Attrition Using Machine Learning Algorithms Subject The topic of the resource ADASYN; Employee attrition; Ensemble model; Extra Tree Classifier; SMOTE; XGBoost Description An account of the resource Employees are considered the foundation of any organization. Due to their importance, the Human resources department implements various policies to sustain them. Yet the attrition rate in any organization is increasing yearly. The attrition rate signifies the number of employees who leaves a firm without being replaced. It is regarded as a well-known issue that requires the administration to make the best choices to retain highly competent staff. It is interesting to note that artificial intelligence is frequently used as a successful technique for foreseeing such an issue. This review paper aims to study the different machine learning approaches that predict employee attrition and factors influencing an employee to attrite from an organization. A Hybrid model comprising the various ensemble models is proposed to predict attrition at its earliest. The forecasted attrition model aids in not only taking preventive action but also in improving recruiting choices and rewarding top performers who contribute to the company's success. 2022 IEEE. Creator An entity primarily responsible for making the resource George S.; Lakshmi K.A.; Thomas K.T. Source A related resource from which the described resource is derived Proceedings - 2022 4th International Conference on Advances in Computing, Communication Control and Networking, ICAC3N 2022, pp. 700-705. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICAC3N56670.2022.10074131" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICAC3N56670.2022.10074131</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152195838&amp;doi=10.1109%2FICAC3N56670.2022.10074131&amp;partnerID=40&amp;md5=f4190526d5989efae36f098b926e1254" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152195838&amp;doi=10.1109%2fICAC3N56670.2022.10074131&amp;partnerID=40&amp;md5=f4190526d5989efae36f098b926e1254</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-166547436-8 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant George S., Christ University, Lavasa, Pune, India; Lakshmi K.A., Christ University, Lavasa, Pune, India; Thomas K.T., Christ University, Lavasa, Pune, India