Employee attrition prediction for imbalanced data using genetic algorithm-based parameter optimization of XGB Classifier

Research article (2023 International Conference on Computer, Electrical & Communication Engineering (ICCECE), 2023) · cited 10× · AI/ML
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Employee attrition prediction for imbalanced data using genetic algorithm-based parameter optimization of XGB Classifier

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Employee attrition prediction for imbalanced data using genetic algorithm-based parameter optimization of XGB Classifier is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Employee attrition prediction for imbalanced data using genetic algorithm-based parameter optimization of XGB Classifier. Retrieved May 24, 2026, from https://4ort.xyz/entity/employee-attrition-prediction-for-imbalanced-data-using-genetic-algorithm-based-parameter-optimization-of-xgb-classifier
MLA “Employee attrition prediction for imbalanced data using genetic algorithm-based parameter optimization of XGB Classifier.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/employee-attrition-prediction-for-imbalanced-data-using-genetic-algorithm-based-parameter-optimization-of-xgb-classifier.
BibTeX @misc{4ortxyz_employee-attrition-prediction-for-imbalanced-data-using-genetic-algorithm-based-parameter-optimization-of-xgb-classifier_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Employee attrition prediction for imbalanced data using genetic algorithm-based parameter optimization of XGB Classifier}}, year = {2026}, url = {https://4ort.xyz/entity/employee-attrition-prediction-for-imbalanced-data-using-genetic-algorithm-based-parameter-optimization-of-xgb-classifier}, note = {Accessed: 2026-05-24}}
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