Mar 10, 2013
by Verikasa, Gelzinisb, Bacauskieneb
From the page:" Random forests (RF) has become a popular technique for classification, prediction, studying variable importance, variable selection, and outlier detection. (..) Apart from the literature survey in RF area, this paper also presents results of new tests regarding variable rankings based on RF variable importance measures."