var.imp {gbev} | R Documentation |
Computes and plots the variable importance of variables used in model.
var.imp(object,nboosts=NULL,std=FALSE,plt=TRUE)
object |
A fitted object of type gbev.object . |
nboosts |
Number of boosting iterations, if NULL set to maximum number used. |
std |
If FALSE then the reduction in mean squared error due to covariates is given, if TRUE then this reduction is standardized with respect to variance of response. |
plt |
If TRUE the importances are plotted. |
Variable importance is defined as the reduction in mean squared error due to the different covariates. For a given covariate, this is computed by idenifying all nodes split using that covariate and adding together the reductions in mean squared error due to splitting these nodes.