Dr. Gege Zhang Profile

Dr. Gege Zhang

at Univ of Wisconsin Madison

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Proceedings Article | 11 November 2022 Paper

Global economic effects of COVID-19: analysis based on hybrid Model

Gege Zhang

Proceedings Volume 12348, 1234813 (2022) https://doi.org/10.1117/12.2641934

KEYWORDS: Performance modeling, Neural networks, Machine learning, Analytical research, Standards development, Data modeling, 3D modeling, Statistical modeling, Statistical analysis, Process modeling

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Global economy has been destroyed by the COVID-19 pandemic, which has rendered many of the world's population impoverished. More uncertainties about the social policies will appear. Meanwhile, there are many researchers devoted themselves into using machine learning to analyze the economics. starting from the decrease of population, the health crisis has translated to an economic crisis. The spread of the virus encouraged social distancing which led to the shutdown of financial markets, corporate offices, business and event. In this paper, we use the dataset provided by Kaggle platform to analyze the economic effects COVID-19 brings. We choose several metrics, such as the Human Development Index, the total death caused by virus. The model is a hybrid one which combine AdaBoost and Linear Regression. AdaBoost is a kind of boosting model with an optimal performance. We also do the compared experiments using the metric: MSE, the result shows that our model owns the best performance with the lowest MSE score 7.23. The KNN, Random Forest are respectively 2.58 and 2.55 higher than that of our hybrid model.

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