Establishment of teaching quality evaluation model based on KNN algorithm
Aiming at the shortcomings of subjectivity in current teaching quality evaluation,this paper proposes a teaching quality evaluation model based on the principle of nearest neighbor algorithm classification.Firstly,the evaluation system of teaching quality is established.Then,taking the evaluation data of teaching supervi-sion as sample data,the best value of parameter K of K-nearest neighbor(KNN)algorithm is solved through cross verification,so as to establish the teaching quality evaluation model.Since the model takes expert data as samples,it has high evaluation accuracy.The evaluation results of the model are highly reliable and it can quickly generate evaluation grades according to relevant indicators,which not only improves the efficiency of teaching quality evaluation,but also makes teaching quality evaluation more objective and comprehensive.
万方数据
维普
