After China has eliminated absolute poverty and entered the post-poverty era, the anti-poverty cause has evolved to focus on relative poverty, which has the characteristics of relativity, multidimensionality, and dynamics. In particular, migrant workers have become the main group of relative poverty. Its characteristics such as strong mobility, difficulty in continuously increasing income, and lack of endogenous motivation make it more difficult to identify and manage relative poverty.

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... , this paper uses the double-boundary method to identify and analyze the relatively poor migrant workers. It is found that: (1) Compared with the one-dimensional income level as the standard, the multi-dimensional poverty identification system can better reflect the poverty status of migrant workers; (2) The migrant workers showed a higher incidence of poverty in the highest education level, children's school attendance, five social insurance and one housing fund and other indicators; (3) The random forest algorithm was used to construct the relative poverty identification model of migrant workers, with an accuracy rate of 98.8%. Meanwhile, the model reflected that education and employment dimensions should be emphasized in the identification process. Based on the research conclusions, this paper puts forward corresponding policy suggestions for China to deal with the relative poverty of migrant workers and puts forward further research directions.