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 a Rise in Employee Attrition Rates Through the Utilization of People Analytics Subject The topic of the resource Artificial Intelligence; HR Analytics; Machine learning; Supervised learning Description An account of the resource Modern organizations have a multitude of technological tools at their disposal to augment decision-making processes, with artificial intelligence (AI) standing out as a pivotal and extensively embraced technology. Its application spans various domains, including business strategies, organizational management, and human resources. There's a growing emphasis on the significance of talent capital within companies, and the rapid evolution of AI has significantly reshaped the business landscape. The integration of AI into HR functions has notably streamlined the analysis, prediction, and diagnosis of organizational issues, enabling more informed decision-making concerning employees. This study primarily aims to explore the factors influencing employee attrition. It seeks to pinpoint the key contributors to an employee's decision to quit an organization and develop a futuristic data driven model to forecast the possibility of an employee leaving the organization. The study involves training a model using an employee turnover dataset from IBM analytics, including a total of thirty-five features and approximately one thousand and five hundred samples. Post-training, the model's performance is assessed using classical metrics. The Gaussian Nae Bayes classifier emerged as the algorithm delivering the most accurate results for the specified dataset. It notably achieved the best recall (0.54) indicating its ability to correctly identify positive observations and maintained false negative of merely 4.5%. 2023 IEEE. Creator An entity primarily responsible for making the resource Arora S.; Kr Jha A.; Upadhyay S. Source A related resource from which the described resource is derived Proceedings of the 2023 12th International Conference on System Modeling and Advancement in Research Trends, SMART 2023, pp. 349-355. 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 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/SMART59791.2023.10428268" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/SMART59791.2023.10428268</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186744709&amp;doi=10.1109%2FSMART59791.2023.10428268&amp;partnerID=40&amp;md5=79cdd8da3f55e43738fa0b9c28bb7501" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186744709&amp;doi=10.1109%2fSMART59791.2023.10428268&amp;partnerID=40&amp;md5=79cdd8da3f55e43738fa0b9c28bb7501</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 979-835036986-1 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 Arora S., School of Business &amp; Management, Christ University, Ghaziabad, India; Kr Jha A., Institute of Technology and Science, Department of Management, Ghaziabad, India; Upadhyay S., Banasthali Vidyapeeth, Department of Computer Science, Rajasthan, India