Team Formation and Exploration of Employee Absenteeism in Teams through Machine Learning and Multilayer Perceptrons (MLP)

Organizations are based on employee productivity and team production. The challenge in team production is the formation of teams and absenteeism of employees in teams results in lower satisfaction of employees. Researchers today have found the importance of machine learning in our daily lives to improve quality. The Present study is the prediction of employees that come under the same manager and analysis of employee absenteeism through multi-layer perceptron (MLP) neural networks from the HRM dataset of 311 unique instances for the analysis of employee performance. After training the data with the aforementioned parameters, the results of linear regression obtained by testing data is a Mean absolute error: 1.44, the Mean absolute error: 1.68 of Bayesian Regression.