Research on the Application of Data Mining in Psychological Evaluation

The paper collects, analyzes, and processes student psychological assessment data, applies Apriori algorithm to study the impact of psychological problems, analyzes the correlation rules between psychological dimension factors, and uses decision tree algorithm to generate a decision tree model of interpersonal sensitivity symptoms that affect psychological problems. By obtaining classification rules through the decision tree model, the training sample data can be effectively classified, thus achieving the goal of early prevention of student psychological problems.