INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
The goal of employee performance reviews is togauge each employee’s level of dedication to the business. For acompanytosucceed,employeeperformanceforecastingiscrucial. This study used machine learning to predict employeeperformance in a workplace setting. The researcher uses datamining in accordance with industry standards (CRIPS-DM).The prediction model is created using Random Forest, LogisticRegression,DecisionTreesalgorithms.Asaresult,comparedtothe other two classifiers utilized, Random Forest Classifier hasa greater accuracy.
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"Employee Performance Estimation", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 4, page no.1537 - 1542, April-2023, Available :http://www.ijsdr.org/papers/IJSDR2304246.pdf
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Publication Details:
Published Paper ID: IJSDR2304246
Registration ID:205472
Published In: Volume 8 Issue 4, April-2023
DOI (Digital Object Identifier):
Page No: 1537 - 1542
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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