Research on the Course Discrimination Based on Gray Wolf Algorithm and Support Vector Machine

The division of the test paper can reflect the quality of examination paper, but it is difficult to find some decisive courses in dozens of courses. In order to find out the curriculum that decides the role of different levels of students, the concept of course discrimination is proposed, which focuses on the value of course discrimination, the classification method and the proportion of special courses selected at this time. For the sake of calculating the value of course discrimination, a method of wrapping feature selection is proposed, which combines gray wolf algorithm and support vector machine (GWO + SVM). So as to obtain the courses distinction of three specialties, eight algorithms were tested. The experimental results show that GWO+SVM is more suitable for calculating the courses distinction than other seven algorithms.