plotModelCV | R Documentation |
this function plots variable imporatnce for cross-validated
rfe
variable selection classes or train
classes.
It uses the k cross-validations to compute the mean +/- sd error or
standard deviation metric.
plotModelCV(
model,
metric = model$metric,
tuningValue = "Variables",
xlim = "minmax",
ylim = "minmax",
sderror = FALSE,
grid = TRUE
)
model |
A rfe or train object. See |
metric |
the metric to be used. Note this needs to be the metric used
to calculate the |
tuningValue |
The tuning value which is depicted on the x axis. For rfe models default is "Variables", the number of variables. |
xlim |
the xlim for the plot |
ylim |
the ylim for the plot |
sderror |
If TRUE then standard error is calculated. If FALSE then standard deviations are used |
grid |
Print grid or not |
a trellis object
if rfe is used as model, then returnResamp = "all" must be set in rfe training
Hanna Meyer, Tim Appelhans
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