Prediction of Positive Psychological Quality of College Students Based on Apriori Algorithm and Analysis of Influencing Factors
摘要
The role of quality prediction in the positive psychological survey of college students is very important, but there is a problem of large error in quality prediction. The questionnaire method cannot fully understand college students’ positive psychological problems, and the test’s accuracy is low. Therefore, this paper proposes an Apriori algorithm to comprehensively analyze college students’ positive psychology. Firstly, the psychological survey scale is used to analyze the positive psychology of college students comprehensively, and the quality prediction results are adjusted according to the content of the scale to find out the influencing factors in the test. Then, the Apriori algorithm is used to perform predictive analysis on the positive psychology of college students, and the final psychological prediction set is formed. MATLAB simulation shows that the psychological prediction accuracy and psychological prediction time of Apriori algorithm are better than those of the questionnaire survey method.