Research on the Risk Early Warning Method of Enterprise Financial Data Based on the Random Forest Algorithm
Influenced by the change of uncertain factors in the structure of enterprise financial data,the traditional financial data risk early warning method has the problem of large error of early warning model,which affects the prediction effect of enterprises on financial risks in practical application.In order to better solve this problem,the risk early warning method is studied under the random forest algorithm.The research optimization is divided into four parts,corresponding to the risk char-acteristic model construction based on random forest algorithm,financial risk early warning index analysis based on random forest algorithm,time series processing of financial risk data and financial risk early warning based on random forest algorithm.The verification of the research results by simulation data shows that the warning method after random forest optimization can complete the accurate warning of financial data risk information in the shortest time,with minimal use of warning resources and high stability,reliability and extension.
random forest algorithmenterprise financedata riskearly warning method
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