Artículos Científicos
Valero-Carreras, D., Alcaraz, J., Landete, M. (2023) "Comparing two SVM models through different metrics based on the confusion matrix", Computers and Operations Research, 152:106131
Daniel Valero Carreras, Javier Alcaraz and Mercedes Landete (Center of Operations Research, Miguel Hernández University of Elche)
Abstract: Support Vector Machines (SVM) are an efficient alternative for supervised classification. In the soft margin SVM model, two different objectives are optimized and the set of alternative solutions represent a Pareto-front of points, each one of them representing a […]