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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016 Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI) |
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Issue: May 2024
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| Paper Title: | Software employee promotion analysis using machine learning |
| Authors Name: | G.Govardhan Reddy , B.Pavan kumar , T.R Harish , K.Rajendra , Syed Abuthahir |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_192223
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| Published Paper Id: | IJNRD2305477 |
| Published In: | Volume 8 Issue 5, May-2023 |
| DOI: | |
| Abstract: | Employee attrition is the term used to describe the organic decline in the number of employees in a company as a result of several unavoidable circumstances. Employee churn causes a significant loss or an organization, a loss. According to the Society for Human Resource Management (SHRM), that is the typical cost per hire for a new hire. Recent statistics indicate that the attrition rate in 2021 will be 57.3%. The accuracy scores obtained using the deployed machine learning approaches were 87% by SVM methodology, and 93% overall. This project is focused on gathering information on employees, creating a decision tree using historical data, testing the decision tree using an employee's traits, and determining whether to provide a promotion or not. The trained dataset kept in the decision tree is compared to this data. Identifying is the ultimate objective node. The suggested improved Decision Trees Classifier (DTC) predicts whether the employee will receive a yearly raise or promotion or not. the technique produced predictions of staff attrition that were up to 96% accurate. |
| Keywords: | employee promotion, prediction, HR dataset, data management, RF, SVM, GTC |
| Cite Article: | "Software employee promotion analysis using machine learning", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.e602-e606, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305477.pdf |
| Downloads: | 000118752 |
| ISSN: |
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID:IJNRD2305477 Registration ID: 192223 Published In: Volume 8 Issue 5, May-2023 DOI (Digital Object Identifier): Page No: e602-e606 Country: anamaya, Andhra Pradesh , India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2305477 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2305477 |
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ISSN: 2456-4184
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