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Title: :  Predictive Modeling & Practical Insights from HR Analytics
PaperId: :  23026
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 2 2024
DUI:    16.0415/IJARIIE-23026
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Yashas.B.SReva University

Abstract

Analytics - Computer Science and Data Science
Attrition: - Employee turnover , Predictive modeling, Decision tree classifier, and Retention strategies
In contemporary firms, HR analytics is essential for supporting strategic decision-making processes pertaining to human resource management. With the use of predictive modeling approaches, this article gives a thorough study of HR data and provides corporate leadership with actionable insights. Future attrition rates are forecast and previous attrition trends are analyzed with the use of logistic regression, random forest, and decision tree classifiers. The decision tree classifier is found to be the most accurate model, and the research shows variations in attrition rates over time. All models show potential for improvement in terms of recall and precision, despite this. Implementing staff engagement programs, retention tactics, and routine monitoring are suggested as ways to address attrition in light of these findings. This work adds to the expanding corpus of research on HR analytics.

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IJARIIE Yashas.B.S. "Predictive Modeling & Practical Insights from HR Analytics" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 2 2024 Page 2151-2156
MLA Yashas.B.S. "Predictive Modeling & Practical Insights from HR Analytics." International Journal Of Advance Research And Innovative Ideas In Education 10.2(2024) : 2151-2156.
APA Yashas.B.S. (2024). Predictive Modeling & Practical Insights from HR Analytics. International Journal Of Advance Research And Innovative Ideas In Education, 10(2), 2151-2156.
Chicago Yashas.B.S. "Predictive Modeling & Practical Insights from HR Analytics." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 2 (2024) : 2151-2156.
Oxford Yashas.B.S. 'Predictive Modeling & Practical Insights from HR Analytics', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, 2024, p. 2151-2156. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Predictive_Modeling___Practical_Insights_from_HR_Analytics_ijariie23026.pdf (Accessed : 26 June 2024).
Harvard Yashas.B.S. (2024) 'Predictive Modeling & Practical Insights from HR Analytics', International Journal Of Advance Research And Innovative Ideas In Education, 10(2), pp. 2151-2156IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Predictive_Modeling___Practical_Insights_from_HR_Analytics_ijariie23026.pdf (Accessed : 26 June 2024)
IEEE Yashas.B.S, "Predictive Modeling & Practical Insights from HR Analytics," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, pp. 2151-2156, Mar-App 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/Predictive_Modeling___Practical_Insights_from_HR_Analytics_ijariie23026.pdf [Accessed : 26 June 2024].
Turabian Yashas.B.S. "Predictive Modeling & Practical Insights from HR Analytics." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 2 (26 June 2024).
Vancouver Yashas.B.S. Predictive Modeling & Practical Insights from HR Analytics. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : 26 June 2024]; 10(2) : 2151-2156. Available from: https://ijariie.com/AdminUploadPdf/Predictive_Modeling___Practical_Insights_from_HR_Analytics_ijariie23026.pdf
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