Enterprise Accounting and Financial Risk Analysis System Based on Decision Tree and SVM

With the continuous development of the market economy, competition in the industry is becoming more and fiercer, leading to the financial situation of many companies are in trouble. Financial risk analysis plays an important role in helping companies to develop smoothly. This paper based on machine learning algorithm and the application of composition analysis, is to research and develop enterprise financial management system for analysis. It is important to start from improving the financial management level of the enterprise, so as to reveal the potential financial risks of the enterprise, and timely prevent the financial crisis of the enterprise from the source, and timely solve hot issues. The author consults a large number of literatures, analyzes and summarizes the advantages and disadvantages of the research results in the field of risk analysis, and applies the implementation of decision tree and SVM financial risk analysis. This paper mainly implements the design of financial risk analysis system from the two directions of financial management and risk analysis.