Publication: Constructor of compositions of machine learning models for solving classification problems
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2020
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© 2020 The Authors. Published by Elsevier B.V.The article concerns the description of program software that gives an opportunity to solve classification problem by machine learning methods on input data in context of different subject areas. The list of such tasks can include: Identification of suspicious state contracts for collusion of suppliers, forecasting the execution of a government contract, forecasting license revocation from credit organizations and insurance companies, etc. The application allows a user to build a composition of several base machine learning models to solve classification problems. As part of the study, the functional requirements for the product being created are presented, the architecture has been developed, the design and testing of the proposed process for creating machine learning model compositions has been carried out. The use of the application will allow to build compositions of machine learning models in a user-friendly mode in order to increase the accuracy of the classification problem. The use of the proposed tools improves the accuracy of solving the classification problem on input data in the context of various subject areas through the utilization of a composition of machine learning methods.
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Lavrov, I. Constructor of compositions of machine learning models for solving classification problems / Lavrov, I., Domashova, J. // Procedia Computer Science. - 2020. - 169. - P. 780-786. - 10.1016/j.procs.2020.02.165