Predict the Entrepreneurial Intention of Fresh Graduate Students Based on an Adaptive Support Vector Machine Framework

Table 1

Description of the Nine Attributes.

Attributes	Name	Description
F1	Gender	Male and female students are represented by 1 and 2, respectively.
F2	Political Status	It is divided into four categories: members of Communist Party of China, probationary members of the CPC, members of the Communist Youth League, and the masses, represented by 1, 2, 3, and 4, respectively.
F3	Level of Education	It is divided into master’s degree, undergraduate degree, and college degree, represented by 1, 2, and 3, respectively.
F4	Major	It is divided into liberal arts and science, represented by 1 and 2, respectively.
F5	Education Year	It is divided into 2 years, 3 years, 4 years, and 5 years, represented by 1, 2, 3, and 4, respectively.
F6	Type of Normal School Students	It is divided into normal students and nonnormal students, represented by 1 and 2, respectively.
F7	Type of Poor Students	It is divided into four categories: nondifficult students, employment difficulties, family difficulties, and employment and family difficulties, represented by 1, 2, 3 and 4, respectively.
F8	Grade Point Average (GPA)	GPA is a way for school to assess students’ learning quality. The score is within 0-4 intervals.
F9	Total Credits	It is a unit of measurement used to calculate students’ learning volume. The more credits students receive, the more they learn.