Construction of Risk Prediction Model of Accounting Data Based on Bayes Algorithm

The purpose of this study is to explore the construction method of the risk prediction model of accounting data based on Bayes algorithm. By analyzing the characteristics of accounting data and related risk factors, an effective risk prediction model is proposed and verified using real case data. The results show that the model has high accuracy and predictive ability, providing important support for enterprises to identify and manage risks. Future research can further explore the model fusion and integration, data mining and feature engineering, the application of deep learning in risk prediction, real-time risk monitoring and early warning, and cross-field fusion research, so as to improve the effect and value of the risk prediction model of accounting data.