Abstract: In this paper，we discuss the feasibility of application of machine learning algorithm in teaching quality evaluation．and use weighted nlm-gin support vector machine(WMSVM)model in learning many metrics of teaching qual— ity evaluation in order to build up a stable model to evaluate teaching quality．Teaching quality metrics are input to the model and confidence value of attitude information of students．In our model，this confidence is expressed鹳weighted ma晒n between the sample points and the classification hyper plane．The WMSVR model outputs teaching quality metric ∞scO瑚．Compdng these scOreO with experts’evaluation，we find that WMSVR model is more accurate and of better generalization capability in the procedure of teaching quality evaluation．