Utilizing Machine Learning to Predict Happiness Index

Abstract

In recent years, machine learning has become an extremely popular topic in the technology domain. A significant number of researches are trying to adopt this technology to improve the efficiency of government services. We utilize machine learning to analyze the features related to the happiness index and to make some predictions. Using the obtained dataset of the survey that collects a random number of Chinese people's happiness index and asks relevant questions, we provide several algorithms to analyze the relationship between people's happiness index and the answers to the problems they have answered. We can make predictions in the new dataset approximately consistent with the actual values by utilizing the results. In our study, we gain some important features like income, education, and health. This paper provides some novel perspectives to improve service for e-governance.