Predicting the influence of Covid-19 on GDP with ensembled machine learning models

Yafei Wu, Youshuai Yang, Yudong Wu, Boshuai Ye
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Abstract

Since it first broke out in 2019, the Covid-19 pandemic has made a huge impact on everyone's daily lives. As vaccination progresses smoothly in many countries and the pandemic gradually gets under control, it is important that we understand its impact on the global economy to fully recover from the damage Covid-19 has caused. In this paper, we analyzed over 50000 records of pandemic data for over 200 countries to identify the important factors affecting the GDP per capita of the countries. We also proposed a method ensembling three machine learning models predict a country's GDP based on pandemic data.
用集成机器学习模型预测Covid-19对GDP的影响
自2019年首次爆发以来,新冠肺炎大流行对每个人的日常生活产生了巨大影响。随着许多国家的疫苗接种进展顺利,大流行逐渐得到控制,我们必须了解其对全球经济的影响,以便从Covid-19造成的损害中完全恢复过来。在本文中,我们分析了200多个国家的5万多条大流行数据记录,以确定影响各国人均GDP的重要因素。我们还提出了一种方法,将三个机器学习模型集成在一起,根据流行病数据预测一个国家的GDP。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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