varplot.maboost: Variable selection with maboost

In maboost: Binary and Multiclass Boosting Algorithms

Description

varplot.maboost ranks the variable according to their importance.

Usage

 varplot.maboost(x,plot.it=TRUE, type=c("none","scores"),max.var.show=30,...)

Arguments

x	object generated by the function maboost.
plot.it	flag to plot a figure
type	default="none", if scores is selected the scores of variables are returned.
max.var.show	default="30", set it to larger value if you have more than 30 variables.
...	other arguments not used by this function.

Details

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.

Value

scores are returned.

See Also

summary.maboost,predict.maboost,

maboost documentation built on May 2, 2019, 9:34 a.m.