The emergence of modern wireless technologies has posed a challenge in front of the network service providers as they need to ensure excellent quality of service as well as seamless experience to it’s users. The focus on quality of user experience has increased with the introduction of the 5G technology. The Service Classification needs to be done using various parameters which includes several performance Indicators as well as quality indicators .Machine Learning techniques have become a powerful tool in variety of real time applications, for this project we have employed Ensemble learning based supervised learning approach to understand the feasibility of 5g service classification using ensemble learning . Use of separate machine learning algorithms has provided encouraging results but and ensemble learning approach using voting classifier provided us with use of various algorithms to provide us an efficiency of about 96%.