Selection Of Contractors Based On Credit Dataanalysis

The contractor and the owner play a very important role in the construction market.In the face of many contractors,the owner can choose the most suitable contractor for his company and the most suitable for the project,which determines the project profit and the success of the project.In the context of social credit construction,the contractor’s credit level will also be one of the criteria to judge the contractor’s merits and demerits.Real estate developers in the pursuit of higher profits,usually choose the contractor with the lowest total contract price as the winning bidder,and there is too much emphasis on the size of contractors,neglecting to contractor credit investigation,resulting in a variety of credit problems in the process of construction,and in the context of the whole social credit system construction,On the investigation to the contractor’s credit terms is also very necessary,but these days,exist in large construction general contractor enterprise is pulled into the blacklist integrity or somewhere without access to markets,register company,responsible for their dishonest behavior,therefore,this article selects small and medium-sized building contractor for the credit analysis.To meet the requirements of credit data analysis,this paper describes in detail how to build a contractor credit information database,the whole process of the operation of the database,how to get the data before the data preprocessing,screening,clear to get the data of data source website information standards,complete the data cleaning and transformation to obtain satisfy data analysis,At the same time,by referring to the credit evaluation standard in the project of dynamic monitoring and repair of credit of construction enterprises and the scoring standard of various local credit evaluation standards,the database construction is completed and the contractor’s credit evaluation standard is clarified,and finally the data support database is formed for the subsequent analysis of contractor’s credit data.On this basis,the decision tree algorithm is proposed to the contractor’s credit status is analyzed,and corresponding rules and calculation method for the model,this paper introduces the traditional decision tree algorithm ID3 algorithm,C4.5 algorithm in the application and shortcomings,after introducing the CART algorithm,using the gini coefficient for the contractor’s credit status of the decision tree classification and regression forecasting.In order to better analyze the credit status of contractors,20 small and medium-sized contractors are selected in this paper.Thinking about the above model and scoring standard,the credit status of contractors is classified into AAA,AA,A and so on.Use points method mentioned above,to credit score of 20 contractor,it is concluded that the initial credit comprehensive analysis,and then choose the improved CART decision tree algorithm,analyzes the importance of the various indicators classification,draw the decision tree modeling analysis,and analyzes the accuracy of the model as a whole,to ensure the validity of the model as a whole,At the same time,the importance of the performance ability,social responsibility,honor information and integrity information is sorted,and the influence degree of each index on the subsequent contractor’s credit status is clarified.