20.500.12556/DKUM-92131 Comparative analysis of nonlinear models developed using machine learning algorithms Machine learning algorithms are increasingly used in a vast spectrum of domains where statistical approaches were previously used. Algorithms such as artificial neural networks, classification, regression trees, or support vector machines provide various advantages over traditional linear regression or discriminant analysis. Advantages such as flexibility, scalability, and improved accuracy in dealing with diverse data types, nonlinear problems, and dimensionality reduction, compared to traditional statistical methods are empirically demonstrated in many previous research papers. In this paper, two machine learning algorithms are compared with one statistical method on highly nonlinear data. Results indicate a high level of effectiveness for machine learning algorithms when dealing with nonlinearity. machine learning decision tree algorithm artificial neural network predictive models data characteristics nonlinear data artificial intelligence true false true WSEAS Angleški jezik Angleški jezik Znanstveno delo 2025-03-14 03:25:55 2025-07-02 12:06:32 2025-07-03 03:11:12 0000-00-00 00:00:00 2024 0 0 str. 303-307 [art. no.] 29 Vol. 21 2024 0000-00-00 Zaloznikova Objavljeno NiDoloceno 2023-07-18 2024-05-16 2024-06-20 007 199795971 10.37394/23209.2024.21.29 2224-3402 https://wseas.com/journals/isa/2024/a565109-016(2024).pdf 1 a8e9633c-007b-11f0-9c63-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=189338 Comparative_Analysis_of_Nonlinear_Models_Developed_using_Machine.pdf Comparative_Analysis_of_Nonlinear_Models_Developed_using_Machine.pdf 1 654FB317F175BE6570CA7962548CAD9D 2b045402699568b47b35353627c32d598aa1de9e653a585dfda8fbae802135e5 27e0e5b1-572c-11f0-bb83-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=193122 Ekonomsko-poslovna fakulteta 0 0 0