Ensemble Learning Framework to Predict the Employee Performance

Abstract

The main goal of this research is to analyze the employee performance associated with organization's growth. The research starts with collecting the employee information and then a deep exploratory data analysis has been conducted on the collected data to identify the significance contribution towards the organization. Finally, ensemble learning framework designed to identify the potential of employees to the organization. To the best of our knowledge, this is the first work which consists of all the aspects of employee performance has been included in the dataset. Also, we have used the real time employee dataset from reputed MNC Company from Chennai. The results show that the proposed Extreme gradient boosting ensemble learning algorithm gives better results.