varplot.maboost ranks the variable according to their importance.
varplot.maboost(x,plot.it=TRUE, type=c("none","scores"),max.var.show=30,...)maboost. varplot.maboost This command provides a sense of variable importance. The more frequently a variable is selected for boosting, the more likely the variable contains useful information for classification. for rpart, the standard criteria explained in (Hastie et al,2001, pg332) is used while for C5.0. the function C5imp is used to calculate the variables importance for each C5.0 model and these scores are averaged over all trees.
summary.maboost,predict.maboost,