Evaluation Model of Police Physical Education Teaching Mode Reform Effect based on IC3 Decision Tree Algorithm
The existing evaluation model of police physical education teaching mode has the problem that the recursive attribute of data is not clear, which leads to a high degree of data dispersion. This paper designs an evaluation model to determine the effect of the reform of the teaching mode used for police physical education. The proposed model is based on the IC3 decision tree algorithm. In order to obtain information regarding the effectiveness of police P.E. teaching, we use a variety of teaching aids to achieve the teaching objectives, establish the evaluation index system of teaching mode reform effect, extract the recursive attribute of data based on IC3 decision tree algorithm, establish the branch structure according to the characteristic value, and set up the evaluation mode to determine the effect of reform. This is done by applying the cluster analysis algorithm, whereby the distance
between data points and clustering is measured in order to construct the evaluation model. The experimental results show that the mean value of data dispersion in the evaluation model and the two existing evaluation models is 9.732%, 12.715% and 13.050% respectively, which indicates that the evaluation model integrated with IC3 decision tree algorithm has greater value in terms of practical application.
Keywords: IC3 decision tree algorithm, teaching mode, the effect of reform, evaluation model, police school, physical education teaching
K. Wang, "Evaluation Model of Police Physical Education Teaching Mode Reform Effect based on IC3
Decision Tree Algorithm", Engineering Intelligent Systems, vol. 30 no. 4, pp. 295-301, 2023.