MULTI-LABEL PROBLEM TRANSFORMATION METHODS: A CASE STUDY

Traditional classification algorithms consider learning problems that contain only one label, i.e., each example is associated with one single nominal target white feather tinsel variable characterizing its property.However, the number of practical applications involving data with multiple target variables has increased.To learn from this sort of d

Objective: The study examines the effects of message modalities (visual vs.textual) and rhetorical approaches (narrative vs.expository information) on the elaboration and recall of COVID-19 vaccine information among individuals with diverse levels of science literacy.Methods: We recruited 328 U.S.adults who were not fully vaccinated against COVID-1