In the study, it was aimed to examine the variables that predicted the physics anxiety of pre-service teachers with the C5.0 decision tree algorithm. In this study, which is a relational research, data were collected from 186 pre-service teachers with the "Personal Information Form" and the "Physical Anxiety Scale". In the analysis of the data, Two-Stage Clustering Analysis was used in the first stage and C5.0 Decision Tree Algorithm was used in the second stage. In the study, it was found that most of the pre-service teachers' physics course/test anxiety was high, their mathematics anxiety was moderate, their lack of physics knowledge and physics laboratory anxiety was low and moderate. It was determined that the predictor variable with the highest effect on the anxiety of physics lesson/exam and lack of physics knowledge was the general academic grade averages of the pre-service teachers. On the other hand, it was determined that the predictor variable with the highest effect on the age of the pre-service teachers on the mathematics anxiety dimension and the gender of the pre-service teachers on the physics laboratory anxiety dimension.