Abstarct: Today, the thinkers of the management organization state that the most important and valuable asset of the organization is its human resources. Therefore, it is important to strive to develop a commitment of loyalty in employees and create a sense of belonging in them, and with the proper selection of employees, they will take a big step towards the development of their organization. Due to technological advances in recent decades, the volume of information stored within organizations is increasing day by day. As a result, it is possible to use this vast amount of information to discover patterns and rules between different data, including human resource data, which is possible using data mining science. The purpose of this study is to investigate the loyalty prediction of employees of private companies using data mining technique. This research is applied in terms of exploratory nature and purpose. Today, data mining methods are widely used in discovering patterns and rules between data. The application of these methods can be an effective role in predicting the loyalty of employees of private companies using data mining techniques in a case study of companies providing electricity distribution services in Khuzestan province. In this study, the obtained data were analyzed by Rapid Miner software and the performance of three algorithms from data mining methods including decision tree algorithm, backup vector machine and k nearest neighbor was investigated. Also, in this research, the combination of two top algorithms has been used as research innovation and obtaining a more desirable result.