Construction of a Recommendation Method for Financial Insurance Products Based on Machine Learning

Table 1

Variable names and assignments.

Variable name	Assign
Gender	1 = male, 0 = female
Marital status	1 = married, 0 = other
Whether to participate in basic medical insurance	1 = Yes, 0 = No
Whether to participate in the basic pension insurance	1 = Yes, 0 = No
Do you own a family car?	1 = Yes, 0 = No
Whether to engage in investment activities	1 two yes, 0 = no
Political status	1 = the masses, 2 = members of the communist youth league, 3 = democratic parties, and 4 = members of the communist party of China
Education	1 = junior high school and below, 2 = vocational high school, ordinary high school, technical secondary school, technical school, 3 = college (adult, formal higher education), undergraduate (adult, formal higher education), and 4 = Graduate and above