云交科-企业信用评分模型

基于劳务单位信息、施工班组信息、安全生产设备信息等数据，通过机器学习算法和评分系统生成企业的综合信用评分。评分依据包括企业资质、历史信用等级、安全记录和事故率等，有助于金融机构在授信前全面了解企业的信用状况。This dataset generates comprehensive credit scores for enterprises using machine learning algorithms and a specialized scoring system, with data sources covering labor service unit information, construction team information, safety production equipment information and other relevant operational data. The credit scores are formulated based on key indicators such as enterprise qualifications, historical credit ratings, safety records and accident rates, aiming to help financial institutions comprehensively understand the credit status of enterprises prior to credit granting.