Study on the label generation model of power suppliers’ bad behavior based on supervised machine learning

This is the authors' abstract. We don't add key points for this paper.

The label data on the occurrence of bad behaviors of power company suppliers is seriously unstructured, and a large amount of effective information is difficult to obtain and reuse. This has a certain impact on the subsequent supplier evaluation, especially on the work of the bidding and purchasing department. Therefore, it is necessary to extract the core information in the bad behavior data so that the business department can take targeted management countermeasures in the subsequent bidding and procurement and cooperation process. In this paper, the framework design, model construction and experimental evaluation of the bad behavior label model of power suppliers based on supervised machine learning are carried out according to the characteristics of the bad behavior data of power suppliers.