Utilizing Machine Learning to Predict Happiness Index

机译：利用机器学习预测幸福指数

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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.

机译：近年来，机器学习已成为技术领域的极其流行的话题。大量的研究正在努力采用这项技术来提高政府服务的效率。我们利用机器学习来分析与幸福指数相关的功能并进行一些预测。使用所获得的调查数据集收集了随机数量的中国人幸福指数并询问相关问题，我们提供了几种算法来分析人们幸福指数与他们回答问题的答案之间的关系。我们可以通过利用结果对新数据集进行预测。在我们的研究中，我们获得了收入，教育和健康等重要功能。本文提供了一些新颖的观点，可改善电子治理服务。

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《International Conference on E-Commerce and Internet Technology》|2021年|233-238|共6页
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作者
Lexin You;
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Analytical models; Education; Machine learning; Predictive models; Data models; Internet; Indexes;

机译：分析模型;教育;机器学习;预测模型;数据模型;互联网;索引;

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Utilizing Machine Learning to Predict Happiness Index

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