Analysis Of Influencing Factors Of National Happiness Based On Machine Learning

With the overall victory of my country ’s fight against poverty in 2021,under the correct leadership of the party and the joint efforts of the people across the country,China has officially entered a well-off society in an all-round way,and the people’s pursuit and yearning for a happy life has become increasingly urgent.Therefore,it is of great practical significance to study the factors that affect national well-being and adjust national policies in a timely manner based on relevant results to improve national well-being.The research data in this article comes from CGSS2015,which selects more than 70 questions about the respondent’s basic personal information,family situation,economic strength,social status and attitude,and leisure time activities in 4 sections,and summarizes 42 factors that may affect national happiness.The study is from perspectives of statistical and machine learning,using penalty linear regression and decision tree-based ensemble learning to model and analyze sample data.In the empirical analysis part,first of all,a descriptive statistical analysis of the sample data is carried out to show the basic situation of the happiness of Chinese residents.Secondly,linear regression with penalty terms is used to model the entire sample,and the influence of different variables on the happiness index is explored through regression model coefficients.Finally,the sample population is divided into youth,middle-aged and old by age,and the decision tree and XGBoost are used to model the population of different age groups respectively,and the interpretability of the decision tree is used to draw a single decision tree.At the same time,using the XGBoost modeling process to calculate the information gain of each variable split,analyze the variables that have the greatest impact on happiness in different age groups.Through the decision tree and XGBoost modeling of people of different ages,it is found that "social and economic status compared to peers","family’s local economic status","current self-class identification",and "recognition of social justice" and"health status" have a significant impact on residents happiness in different age groups.Among them,the factor that has the greatest impact on the happiness of young people is the "family’s local economic status".The most important factor influencing the happiness of middle-aged people and the elderly is "socio-economic status compared to peers".At the same time,research has found that "recognition of social justice" has a much greater impact on the happiness of middle-aged people than other age groups,the "socio-economic status compared to the same age" has a far greater impact on the happiness of the elderly than other factors.Based on the conclusions of the study,this article proposes relevant suggestions on ways to improve happiness from both the individual and the government.