The Dynamic Portrait Method of Comprehensive Quality for Micro,Medium,and Small En-terprises Based on BO-XGBoost
[Purpose/significance]In order to accurately depict the quality of medium,small,and micro enterprises(MSMEs)and im-prove the comprehensive quality service level,the comprehensive quality dynamic portrait method research of MSMEs is carried out.[Method/process]Based on the concept of comprehensive quality,combined with the content of quality services and the current situa-tion of MSMEs,design the portrait dimensions;The static labels of enterprises are extracted based on clustering and other methods,a portrait label classification algorithm based on Bayesian optimized XGBoost(BO-XGBoost)model is proposed,and the automatic ex-traction and dynamic update of the comprehensive quality portrait labels of MSMEs are realized;Finally,a comprehensive quality por-trait label system for MSMEs is constructed,and the application research of dynamic portrait algorithm is implemented.[Result/con-clusion]Compared with Logistic Regression,Random Forest,KNN etc.,the prediction accuracy of BO-XGBoost reaches 95.71％,and the overall performance of BO-XGBoost is the best.[Innovation/limitation]The dynamic portrait algorithm and process for the quality service platform in this paper can effectively analyze the comprehensive quality characteristics of MSMEs,and improve service effi-ciency of the comprehensive quality service platform.
dynamic portraitMSMEscomprehensive qualityBO-XGBoostservice platform of comprehensive quality
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