safs
and gafs
objects.## S3 method for class 'gafs':
varImp(object,
metric = object$control$metric["external"],
maximize = object$control$maximize["external"], ...)## S3 method for class 'safs':
varImp(object,
metric = object$control$metric["external"],
maximize = object$control$maximize["external"], ...)
NA
is assigned to the predictor). This computation is done separately for each resample and the t-statistics are averaged (NA
values are ignored) and this average is reported as the importance. If the fitness value should be minimized, the negative value of the t-statistic is used in the average.
As such, the importance score reflects the standardized increase in fitness that occurs when the predict is included in the subset. Values near zero (or negative) indicate that the predictor may not be important to the model.
safs
, gafs