The study of physical education evaluation based on a fuzzy stochastic algorithm

With the rapid development of Internet technology, data mining has been widely used in universities. At the same time, the rise of smart campuses makes the campus behaviors of college students begin to be stored in databases or data warehouses in the form of data. This article was based on stochastic simulation algorithm analysis and research the physical education teaching evaluation, and has proposed a teaching evaluation data of random simulation algorithm, and the evaluation data and the algorithm were applied to real teaching, teaching evaluation data in testing the noise data separation to separate the data in the table. In this paper, we have used the cosine similarity of the adjustment as the method to calculate the similarity between the cluster center in order to verify the effectiveness and efficiency of the algorithm, and the algorithm proposed in this paper is compared with the greedy algorithm and the frequency-based outlier detection algorithm. The proposed model is compared with the existing techniques to show the system's effectiveness for various performance measures. The proposed model is implemented in Matlab software, and the results are validated. The experiment results have shown better results for the proposed algorithm with high efficiency and accuracy.