Construction of Primary and Secondary School Teachers’ Competency Model Based on Improved Machine Learning Algorithm

In order to quantitatively evaluate the competence of primary and secondary school teachers, a competency model teachers based on an improved machine learning algorithm is proposed. The fitting parameter analysis teachers’ constructed, benefit degree extracted results reliability index parameters. used carry out quantitative characteristic element in process evaluation determine elements model. According model, are conceptualized classified, theoretical online teaching constructed realize assessment competency. Factor tests were performed using KMO test Bartlett test. empirical simulation show that accuracy by this method good, level credibility high.