A Machine Learning Approach for Employee Retention Prediction

Ggaliwango Marvin · Majwega Jackson · Md. Golam Rabiul Alam

33 citations0/0 files storedIEEE Region 10 Symposium (TENSYMP)

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AI and HR Technologies Online Learning and Analytics Customer churn and segmentation

Abstract

Massive investment in employee skills training has been adopted by lots of organizations in reaction to the rapid evolution of the global trends and technology adoption. Unfortunately, target employee retention after training unsatisfactorily gives a negative return on investment. Prediction of target candidate decision before training and understanding the features that affect the candidate decision can greatly contribute to candidate selection and decision feature optimization process for increased employee retention. The method proposed in this paper successfully models and analyses various machine learning classifiers for illustrating features that affect the target candidate decision and predict the probability of candidate retention before training. Classical metrics are used to express the results of the algorithms used and the Random Forest Classifier revealed the finest percentage in accuracy summarized as 99.1%, 84.6%, 91.8% on the training, testing and overall dataset respectively.

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References

2005Human Resource Management and Labor Productivity: Does Industry Matter?2020Predicting Employee Attrition Using Machine Learning Techniques 2011Human Resource Management and Productivity 2018Artificial Intelligence, Economics, and Industrial Organization 2014Improved churn prediction in telecommunication industry using data mining techniques 2016Customers churn prediction and marketing retention strategies. An application of support vector machines based on the AUC parameter-selection technique in B2B e-commerce industry 2017Automated business process management – in times of digital transformation using machine learning or artificial intelligence 2016Human Resource Predictive Analytics (HRPA) For HR Management In Organizations

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2024AI in talent management in the digital era – an overview 2024Employee Attrition Prediction in the USA: A Machine Learning Approach for HR Analytics and Talent Retention Strategies

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