Paper sharing | Factors Influencing the Citizenization of Rural-Urban Migrants: A Study Based on Machine Learning
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Introduction
This study, published in China Rural Economy (a leading Chinese journal in Agricultural and Forestry Economic Management), employs various machine learning methods, including multiple linear regression, penalized regression, ensemble learning, and deep learning, to examine the factors influencing the urbanization level of the agricultural migrant population. The article offers new insights and methodologies for analyzing these influencing factors through machine learning techniques.
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๐ Research Link: Factors Influencing the Citizenization of Rural-Urban Migrants: A Study Based on Machine Learning
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