Mathematical models and software package for analyzing counterparties in a system for forecasting the execution of government contracts
Abstract
Mathematical models and software package for analyzing counterparties in a system for forecasting the execution of government contracts
Incoming article date: 19.11.2024Models and a software package have been developed that allow for the analysis of counterparties for the probability of fulfilling government contracts. A comparative analysis of machine learning models has been conducted: logistic regression, decision forest, clustering, and neural network. A software package has been developed that allows for contract forecasting. A computational experiment has been conducted to analyze counterparties taking into account contracts that have been fulfilled or not completed by them. The best model has been established, demonstrating a forecast accuracy of 97.89% by the accuracy metric.
Keywords: mathematical modeling, cybersecurity, intelligent models, financial sector, government contracts, information infrastructure