ROC learning of linear classifier is based on sensitivity and specificity maximization. A methodology of multicriteria optimization was applied to given task. All the functions and programs were realized and tested in the Matlab environment.
ROC learning of linear classifier is based on sensitivity and specificity maximization. A methodology of multicriteria optimization was applied to given task. All the functions and programs were realized and tested in the Matlab environment. (en)
Metoda ROC učení lineárního klasifikátoru je založena na maximalizaci senzitivity a specificity. Na uvedenou úlohu byla aplikována metodika vícekriteriální optimalizace. Veškeré funkce a programy byly realizovány a testovány v prostředí Matlab. (cs)