With the continuous development of artificial intelligence, machine learning, the necessary way to achieve artificial intelligence, is also constantly improving, of which deep learning is one of the contents. The purpose of this paper is to evaluate and warn the security risk of large-scale group activities based on the random forest algorithm. This paper uses the methods of calculating the importance of the random forest algorithm to variables and the calculation formula of the weight of the security risk index, and combining the model parameters of the random forest algorithm The optimization experiment and the random forest model training experiment are used for risk analysis, and the classification accuracy rate reaches a maximum of 0.86, which leads to the conclusion that the random forest algorithm has good predictive ability in the risk assessment of large-scale group activities. This article takes a certain international youth environmental protection festival as an example for analysis, and better verifies the feasibility and effectiveness of this article.

随着人工智能的不断发展，机器学习作为实现人工智能的必不可少的手段也在不断完善，其中深度学习就是其中的内容之一。本文旨在基于随机森林算法评估和警告大型团体活动的安全风险。本文采用了计算随机森林算法对变量的重要性的方法和安全风险指数权重的计算公式，并结合了随机森林算法的模型参数，分别进行了优化实验和随机森林模型训练实验。用于风险分析，分类准确率最高为0.86，由此得出结论：随机森林算法在大规模群体活动的风险评估中具有良好的预测能力。本文以某国际青年环保节为例进行分析，较好地验证了本文的可行性和有效性。