Prediction method of electronic contract performance risk based on decision tree model

Hui Xiang; Yan Lu; Jing Zhang; Hongyu Wang; Junying Wu

doi:10.1117/12.2674621

23 May 2023 Prediction method of electronic contract performance risk based on decision tree model

Hui Xiang, Yan Lu, Jing Zhang, Hongyu Wang, Junying Wu

Proceedings Volume 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022); 126041U (2023) https://doi.org/10.1117/12.2674621
Event: 2nd International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 2022, Guangzhou, China

Abstract

In the internet environment, an electronic contract is a necessary transaction condition for business cooperation between enterprises. To avoid the risk factors in enterprise electronic contracts and promote the smooth progress of business cooperation, this paper researches the prediction method of enterprise electronic contract performance risk based on the decision tree model. On the basis of the decision tree model, the key nodes are pruned, and then the validity parameters are combined to complete the collection and analysis of enterprise electronic contract risk data. According to the distribution characteristics of risk factors, the performance reliability conditions are improved. The prediction of electronic contract performance risk is realized by solving the value range of prediction parameters. The experimental results indicate that under the decision tree model, the maximum accuracy of risk vector extraction in the process of electronic contract performance reaches 97.5%, which has outstanding application value in avoiding risk factors and promoting business cooperation between enterprises.

Citation Download Citation

Hui Xiang, Yan Lu, Jing Zhang, Hongyu Wang, and Junying Wu "Prediction method of electronic contract performance risk based on decision tree model", Proc. SPIE 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 126041U (23 May 2023); https://doi.org/10.1117/12.2674621

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KEYWORDS

Decision trees

Data modeling

Performance modeling

Reliability

Decision making

Statistical modeling

Education and training

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